2012WWK-PPT-Water Uncertainties and Production Risks by Akhtar Ali
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Transcript of 2012WWK-PPT-Water Uncertainties and Production Risks by Akhtar Ali
7/31/2019 2012WWK-PPT-Water Uncertainties and Production Risks by Akhtar Ali
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Water Uncertainties
and
Production Risks
Akhtar Ali, PhD
Asian Develo ment Bank
28/08/2012
7/31/2019 2012WWK-PPT-Water Uncertainties and Production Risks by Akhtar Ali
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• How water
resources
uncertainties
(WRU) matter and what is solution?
28/08/2012
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a n
ements o
WRU
KnowledgeNatural
stochasticity ScaleChange
drivers
Operational /economic
Data/
inform‐
Model param‐
Temporal
varia‐
Spatial
Population,
land use
Construction,
O&M,
structure bilityvar a‐
bility
prototype changes, urbanization,
migration
damages, revenue,
inflation etc.
28/08/2012
7/31/2019 2012WWK-PPT-Water Uncertainties and Production Risks by Akhtar Ali
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Data/ observations/
Model 1
Model 1
Conceptual
Model
2
Mathematical
Model
2
Mathematical
observations/
information
Conceptual
Model
Model 1
Mathematical
28/08/2012
Model 2
7/31/2019 2012WWK-PPT-Water Uncertainties and Production Risks by Akhtar Ali
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WRU Natural/Stochasticity :
Precipitation
• Random processes • planning inaccuracy
• Spatial and
• R s s o too muc or
too little;
operational
• Modelcu t es
• Farmers interest is
• a a
• Climate Change
low in investment
• Low rainfed ields
28/08/2012
and productions
7/31/2019 2012WWK-PPT-Water Uncertainties and Production Risks by Akhtar Ali
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3000 Low Rainfall
2000
2500
/ y r )
High rainfall variability
High WR
uncertainties
1000
1500
f a l l ( m
500 R a i n
d o n e s i a
g l a d e s h
i p p i n e s
m b o d i a
L a o P R
i e t N a m
r i L a n k a
h a i l a n d
N e p a l
I n d i a
j i k i s t a n
C h i n a
y z e s t a n
a k i s t a n
a n i s t a n
a k h s t a n
a n g o l i a
e k i s t a n
r k e m a n
28/08/2012
I B a P h
i
CT
K y r
A f g K a U z
T
Source: FAO Aquastat data accessed on 18 Aug 2012
7/31/2019 2012WWK-PPT-Water Uncertainties and Production Risks by Akhtar Ali
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Water Uncertainties:
Hydrology and
Hydraulics
• Soil, topography and
, ,
runoff and soil erosion.
processes
such as coefficients
28/08/2012
• requency ana ys s
an
design issues
7/31/2019 2012WWK-PPT-Water Uncertainties and Production Risks by Akhtar Ali
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Water Uncertainties:
Extreme Events:
Floods
&
Drought
• Prediction difficulties
• Operat ona
management
28/08/2012
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• Water pollution
(Point
&Non
‐point)
• torm water
• Groundwater abuse• Saline‐water intrusion
28/08/2012
7/31/2019 2012WWK-PPT-Water Uncertainties and Production Risks by Akhtar Ali
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Production Risks: Water variability
leads to
low
yield/production
a n a var a y an y ro og ca uncer a n es
Inability to
plan
accurately Implementation
difficulties
Soil‐moisture
variabilit
and
deficit
and
cro
stress
Water quantity/quality Farmers interest is low
Low yield and production
28/08/2012
Food insecurity Land
degradation
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• Water quality leads to land
degradation and
reduced
production
• Soil erosion
reduce
fertility
and
production
• Floods dama e
to
cro s
and
infrastructure
•
28/08/2012
7/31/2019 2012WWK-PPT-Water Uncertainties and Production Risks by Akhtar Ali
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Water Resources System Uncertainties
xtremeweather
rrat c anhighly variable
precipitation
y ro og caand hydraulic
variance
xtremeevents
aterquality
Low yield High High Medium High Medium
d u c t i o n
Reducedcropped area Medium Medium High High Low
Low cropproduction High High High High Medium
i
c u l t u r a l p r armers
interest andinputs low
Medium High High High Medium
Loss or failure
Low Medium Medium High Low
i s k s t o A g
Damages tocrop
Medium Medium High High Low
Landde radation No Low Medium High High
28/08/2012
Livestockreduction
Low Medium Medium High Medium
Source: Author
7/31/2019 2012WWK-PPT-Water Uncertainties and Production Risks by Akhtar Ali
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• Minimize
• Improve database
uncertainties
• Improve regulatory
• Improve storages (surface +
• Manage water quality
28/08/2012
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Improve Per Capita Storage
• America
6,150 m
3
/person• Australia 5 000 m3 erson
• Pakistan 132 m3/person
• Egypt (Aswan) 1,000 days (Niles)
• • Australia 600 days
• South Africa 500 days (Orange River)• India 120 to 220 days
28/08/2012
• Pakistan 30 days
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Possible Options:
Improve Water
Productivity
• Canada 8.72 kg/ m3
• . g m
• China 0.82 kg/ m3
• India 0.39 kg/ m3 Yield gap
•Pakistan 0.13 kg/ m
3
28/08/2012
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Possible O tions: Non‐water factors
What? How?
• Minimize
non‐water
• Diversify
crops
• Minimize est and diseaserisks to
agricultural
• Improve cultivation practices
• Make best
use
of
agri.
bi
‐products
production
system
• Invest in agri. marketing
• Farmers credits, crop insurance
• Develop agriculture conducive
28/08/2012
7/31/2019 2012WWK-PPT-Water Uncertainties and Production Risks by Akhtar Ali
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• Learn living
• Improve
forecasting
capacity
uncertainties• ncrease researc mpac s
• Raise water
awareness
• Promote efficient use of
water and water conservation
cu ture
• Care water quality
28/08/2012
7/31/2019 2012WWK-PPT-Water Uncertainties and Production Risks by Akhtar Ali
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•
uncertainties at:
– Information
and
Knowledge
level – perat ona eve
– Strategy and policy levels
28/08/2012
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Fill Knowledge
Gaps Minimize
Harm
Scale U
Innovative
Create a Cooperative
Solutions Environment
28/08/2012
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28/08/2012